Hang Yan

According to our database, Hang Yan authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ChartAct: A Benchmark for Dynamic Chart Understanding.

Muye Huang, Lin Wu, Lingling Zhang, Hang Yan, Zhiyuan Wang, Yumeng Fu, Zesheng Yang, Jun Liu

CoRR, May, 2026

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling.

Rongman Xu, Yifei Li, Tianzhe Zhao, Yanrui Wu, Bo Li, Hang Yan

CoRR, May, 2026

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis.

Kanzhi Cheng, Zehao Li, Zheng Ma, Nuo Chen, Jialin Cao, Qiushi Sun, Zichen Ding, Fangzhi Xu, Hang Yan, Jiajun Chen, Anh Tuan Luu, Jianbing Zhang, Lewei Lu, Dahua Lin

CoRR, April, 2026

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions.

Fangzhi Xu, Hang Yan, Qiushi Sun, Jinyang Wu, Zixian Huang, Muye Huang, Jingyang Gong, Zichen Ding, Kanzhi Cheng, Yian Wang, Xinyu Che, Zeyi Sun, Jian Zhang, Zhangyue Yin, Haoran Luo, Xuanjing Huang, Ben Kao, Jun Liu, Qika Lin

CoRR, February, 2026

TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents.

Hang Yan, Xinyu Che, Fangzhi Xu, Qiushi Sun, Zichen Ding, Kanzhi Cheng, Jian Zhang, Tao Qin, Jun Liu, Qika Lin

CoRR, February, 2026

2025

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu

CoRR, July, 2025

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding.

Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning.

Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation.

Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction.

Lingling Zhang, Yifei Li, Qianying Wang, Yun Wang, Hang Yan, Jiaxin Wang, Jun Liu

IEEE Trans. Knowl. Data Eng., December, 2024